Lead Data Engineer

About Rearc

Founded in 2016, we pride ourselves on fostering an environment where creativity flourishes, bureaucracy is non-existent, and individuals are encouraged to challenge the status quo. We're not just a company; we're a community of problem-solvers dedicated to improving the lives of fellow software engineers.

Our commitment is simple - finding the right fit for our team and cultivating a desire to make things better. If you're a cloud professional intrigued by our problem space and eager to make a difference, you've come to the right place. Join us, and let's solve problems together!

As a Lead Data Engineer at Rearc, you'll play a pivotal role in establishing and maintaining technical excellence within our data engineering team. Your deep expertise in data architecture, ETL processes, and data modelling will be instrumental in optimizing data workflows for efficiency, scalability, and reliability. You'll collaborate closely with cross-functional teams to design and implement robust data solutions that meet business objectives and adhere to best practices in data management. Building strong partnerships with both technical teams and stakeholders will be essential as you drive data-driven initiatives and ensure their successful implementation.

What You Bring

• 10+ years of experience in data engineering, data architecture, or related fields, demonstrating expertise in managing and optimizing complex data pipelines and architectures.
• Proven ability to lead and deliver large-scale data engineering projects, with a track record of designing and implementing scalable data solutions.
• Advanced skills in ETL processes, data warehousing, and data modeling, using tools like Databricks and Delta Lake.
• AWS experience (e.g., Redshift, Glue, S3) and familiarity with cloud platforms are a plus.
• Proficiency in modern data engineering tools such as Apache Airflow, Prefect, or similar workflow orchestration platforms.
• Strong analytical and strategic thinking skills, enabling you to address complex data challenges and drive business outcomes.
• Proven leadership and mentoring skills, with a passion for fostering team growth and collaboration.
• Exceptional communication abilities, facilitating clear collaboration with cross-functional teams and stakeholder alignment.
  
  

What You’ll Do

• Collaborate with Stakeholders: Work closely with internal and external stakeholders to understand data challenges and design solutions tailored to client needs.
• Drive DataOps Practices: Lead with a DataOps mindset, leveraging modern tools and methodologies to build scalable, efficient, and reliable data pipelines.
• Lead Projects and Teams: Manage and execute high-impact data engineering projects, ensuring timely delivery and technical excellence while mentoring and guiding the team.
• Foster Knowledge Sharing: Promote continuous learning by contributing to technical blogs, sharing best practices, and encouraging innovation across the team.
• Enable Strategic Growth in Pune: Act as a key player in establishing our presence in Pune, replicating the successful structures we’ve implemented in the US, managing relationships with clients, and leading project delivery.
  
  

At Rearc, we're committed to empowering engineers to build awesome products and experiences. Success as a business hinges on our people's ability to think freely, challenge the status quo, and speak up about alternative problem-solving approaches. If you're an engineer driven by the desire to solve problems and make a difference, you're in the right place!

Our approach is simple — empower engineers with the best tools possible to make

an impact within their industry.

We're on the lookout for engineers who thrive on ownership and freedom, possessing not just technical prowess, but also exceptional leadership skills. Our ideal candidates are hands-on-keyboard leaders who don't just talk the talk but also walk the walk, designing and building solutions that push the boundaries of cloud computing.